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All Journal Jurnal SEPA (Social Economic and Agribusiness Journal) MATHunesa: Jurnal Ilmiah Matematika
Khasanah, Intan Nur
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Agriculture, Biological Sciences & Forestry Economics, Econometrics & Finance Mathematics

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PENERAPAN K-NEAREST NEIGHBORS (K-NN) DALAM MENILAI POTENSI DROP OUT MAHASISWA: STUDI PADA ASPEK AKADEMIK, SOSIAL, DAN EKONOMI Tania, Vanya; Khasanah, Intan Nur; Syah Albani; Nur Azizah; Nurul Jihan
MATHunesa: Jurnal Ilmiah Matematika Vol. 13 No. 2 (2025)
Publisher : Universitas Negeri Surabaya

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Abstract

College is the highest educational institution that is important in preparing students to face global challenges. However, not a few students experience academic failure in completing their lectures (drop out). The high dropout rate can be minimized by making the right decisions to prevent students from dropping out. To help make these decisions, a technology such as Educational Data Mining (EDM) is needed to better understand student data patterns. One method in EDM that can be used is data classification with the concept of K-Nearest Neighbor (K-NN). In this research, K-NN works by analyzing the closeness of student data to predict the likelihood of a student graduating on time or at risk of dropout. The data used covers aspects of student life, such as academic, social, and economic aspects. Based on the results of the analysis, it can be concluded that the use of K-NN has good performance and is quite accurate but can be improved by adding resampling techniques to overcome class imbalances that may occur from the influence of large amounts of data. However, the K-NN approach can help universities design policies because it is simple to implement, making it easy to apply in the academic field. Keywords: Educational Data Mining (EDM), K-Nearest Neighbors (KNN), Drop Out, College.
RISK PERCEPTION OF CHILI FARMERS IN CONTROLLING ANTHRACHNOSE DISEASE AS A FOCUS OF AGRICULTURAL EXTENSION IN RURAL JAVA Untari, Dyah Woro; Adisty, Dinda Aulia Reta; Sa'idah, Tyas Niswatun; Siwi, Arsya Pradhipta Nuryan; Khasanah, Intan Nur; Pramudita, Laura Isti Nugraha; Handayani, Hepy; Villamar, Julissa Galarza; Laitae, Chaniga; Subejo, Subejo; Akhda, Najmu Tsaqib
SEPA: Jurnal Sosial Ekonomi Pertanian dan Agribisnis Vol 23, No 1 (2026): FEBRUARY
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/sepa.v23i1.115396

Abstract

Environment and economic losses due to anthracnose disease attacks on chilli farming are inevitable, fostering farmers' risk perceptions. Unmanaged risks contribute to inappropriate disease control behaviors that ultimately harm farmers and environment. Risk reduction can be the focus of agricultural extension activities, to reduce losses at the farmer level. This study aims to discover how farmers' risk perceptions influence anthracnose disease control and to formulate relevant extension focuses. The research is conducted in three rural areas in Central Java and the Special Region of Yogyakarta: Purworejo Regency, Wonogiri Regency and Sleman Regency. The mixed-methods approach is carried out through observations on farmers' land and surveys using indicators of Good Horticultural Practices to explore disease control methods, perceptions of pesticide use and farmers' risk perceptions of disease control. The results show that unmanaged farmers' risk perceptions give rise to collective barriers among farmers. The context of locality and farmer institutions is a determinant of farmers’ learning success. Primarily, efforts to reduce risk perception are urgent to be the focus of agricultural extension in rural areas. An extension service that orients farmers to their practices is the key to increasing the confidence of farmers in sustainable disease control.
Co-Authors Adisty, Dinda Aulia Reta Akhda, Najmu Tsaqib Dyah Woro Untari, Dyah Woro Handayani, Hepy Laitae, Chaniga Nur Azizah Nurul Jihan Pramudita, Laura Isti Nugraha Sa'idah, Tyas Niswatun Siwi, Arsya Pradhipta Nuryan Subejo Syah Albani Tania, Vanya Villamar, Julissa Galarza